Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Given that, data analytics – helped by such modern technologies as artificial intelligence (AI) and machine learning – has become a must-have capability and in 2022, the importance will be amplified.

But there’s another side to the analytics obsession that needs attention because most analytics applications and technologies are focused more on structured than unstructured data.

The problem with searching for a needle in a haystack is that the process, by nature, is inefficient. So why has it become a popular analogy for analytics efforts within the enterprise? Because ...

It requires a high level of technical and analytics expertise to make a difference. As such, Quantzig expects the rise in unstructured data sets to be an expensive shift for many businesses.

Unstructured data poses one of the biggest challenges in the analytics world, and one of the biggest benefits to understanding human behavior, too. It also presents a golden opportunity for Voyager ...

TheRisk Analytics Global Market Report 2023: A $58.12 Billion Market by 2027 - Increasing Use of Large Amounts of Structured and Unstructured Data will Propel Market Growth - ResearchAndMarkets.com ...

A new study from Komprise shows unstructured data growth drives demand for cloud storage, analytics and self-service.

ParAccel, Inc., an analytic platform provider, announced the latest version of its flagship technology which introduces analytic integration for a wide range of analytic tools and data sources.

Big Data and Analytics IT Management Unlocking Value with Unstructured Data Tagging Effective data tagging enables organizations to use a small number of data descriptors or tags to organize and ...